Triple
T15223488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirius Passet fauna |
E363817
|
entity |
| Predicate | firstMajorDescription |
P117588
|
FINISHED |
| Object | 1994 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1994 | Statement: [Sirius Passet fauna, firstMajorDescription, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorDescription Context triple: [Sirius Passet fauna, firstMajorDescription, 1994]
-
A.
firstMajorDevelopment
Indicates that the object is the earliest significant development, milestone, or major advancement associated with the subject.
-
B.
firstMajorDepiction
Indicates that one entity is the earliest significant or primary representation or portrayal of another entity.
-
C.
firstMajorProduction
Indicates that an entity is the earliest significant or primary production (such as a film, play, or large-scale work) associated with another entity.
-
D.
firstStageDescription
Indicates that the value provides a textual explanation or summary of the initial or earliest stage in a multi-stage process or sequence.
-
E.
firstMajorPublication
Indicates the relationship where a work is the earliest significant publication associated with an entity (such as a person or organization).
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.